Flow Analytics Data Integration Overview

What Is The Flow Integration Framework?

The Flow Integration Framework is a powerful data integration engine born out of the need to have a single universal system which can adapt to and consume data
from any source, structure or format.

Flow can access and integrate data from any source and consolidate this data for analysis, reporting, and other autonomous tasks.

No matter where your data resides, Flow can connect and adapt it into it's universal generic data. This rapidly accelerates the development of analysis and reporting workflows,
letting you focus on implementation and result delivery instead of the bottlenecks of data access.

Flow can be used to interface with any data source, structure or api, synchronize disconnected systems, consolidate data from distributed sources into dashboards and reports,
automate analysis workflows, and much more.

Any data integration workflow, no matter how complex, can be developed with no code using Flow. The framework can scale to solve even the most advanced data integration challenges
with ease.

Flow's Data Integration Framework allows you to:

Integrate bi-directionally with any data source

Deploy agents for scaleable computation

Interface with any API

Access all critical data for analysis

Connect to any web-based source

Join and merge data from different sources

Transform and cleanse data

Design integrated analysis workflows

Consolidate all of your business data

Connect to and consume unstructured sources

Enrich internal data with external data

Leverage AI in integration workflows

Combine data into dashboards and reports

Synchronize disconnected systems

Automate the movement of data

Connect distributed data into hypercubes

Perform integrated multidimensional analysis

Compute new data points

Design advanced control structures

Automate the delivery of results

Automate any business process

Embed machine learning into integrations

Connect to tens of thousands of data sources

Distribute integrations across agents

Connect to Thousands of Data Sources

Traditionally, the best practice approach to integration was to code fixed connectors or adapters which understand how to parse data coming from a specific source.

While Flow does provide many pre-built adapters to common data formats, it also presents a new generic data approach to integration. Flow's generic data can adapt to any
external data source or structure without requiring any knowledge of the data format ahead of time.

This generic data approach allows Flow to connect to tens of thousands of data sources on demand. Flow can connect to any form of API and consume data objects directly into
structured tabular data with minimal configuration and zero code.

To see some of the data adapters Flow provides, check out the list below.

Agent-based Automation

Flow operates on a distributed agent architecture which allows for the deployment of powerful automations. Agents are autonomous computing nodes which execute workflows on a schedule or
in response to an event. Agents are deployed to wherever data resides, and communicate with the Flow server to orchestrate the coordinated execution of jobs.

Flow enables you to design and develop solutions to the most advanced integration challenges. Once integration workflows are developed - they can be deployed onto autonomous agents
for continuous execution on a schedule or in response to an event.

Agent-based Automation allows you to:

Automate the collection of data

Automate the transfer of data

Automate data cleansing tasks

Automate data transformation tasks

Automate the monitoring of data

Automate hypercube computation

Automate statistical analysis

Automate report generation

Automate cognitive computation

Automate machine learning

Automate multidimensional analysis

Automate the distribution of data

Automate the delivery of results

Automate anomaly detection tasks

Automate text data analytics

Automate systems synchronization

Automate any business process

Automate forecasting and prediction

Automate clustering and classification

Automate computing new data points

Automate distributed computation

Automate notifications and alerts

Automate data summarization

Monitor automations through the cloud

Cloud-based Orchestration

Integration workflows are deployed and managed from the cloud. Flow's powerful distributed agent and cloud monitoring technology allows you to monitor all autonomous processes from a central point of control.

Cloud-based Orchestration allows you to:

Monitor all deloyed integrations

Schedule integrations for automated execution

Manage distributed agents from the cloud

Orchestrate tasks across environments

Scale computation using local and cloud agents

Automate the secure transfer of data

Drill into all aspects of your agent cloud

Access your workflows anywhere

Share and collaborate on integrations

Execute agent computation ad-hoc

Monitor the heartbeats of agents

Synchronize local and remote environments

Audit all tasks performed by agents

Process datasets of any size

Perform multidimensional integration

Connect your entire organization's data

Manage autonomous analytical tasks

Trigger workflows in response to an event

Automate complex integrations with ease

Eliminate manual time-consuming tasks

Automate data science across your business

Easily communicate and share workflows

Create dashboards to monitor your business

Automate the movement of data

Cleanse, Transform, and Prepare Data

Flow's high powered configure-not-code workflow editor environment allows you to design rules to transform and cleanse data, and perform any type of
advanced calculation as part of the integration workflow.

HyperCube Integration Framework

Flow's multidimensional hypercube computing framework allows for the most advanced analytical tasks to be automated as part of
integration workflows. Integration workflows can pull data from any number of disconnected sources and unify the data using multidimensional analysis objects.